A. K. Rangarajan

Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug

P. Offermans, A. Ulrici, L. Maistrello, 2023, Chemometrics and Intelligent Laboratory Systems.

Detection of fusarium head blight in wheat under field conditions using a hyperspectral camera and machine learning

Rebecca L. Whetton, Aravind Krishnaswamy Rangarajan, A. Mouazen, 2022, Comput. Electron. Agric..

Tomato crop disease classification using pre-trained deep learning algorithm

Raja Purushothaman, Aravind Krishnaswamy Rangarajan, Aniirudh Ramesh, 2018 .

A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images

Aravind Krishnaswamy Rangarajan, Hari Krishnan Ramachandran, A. K. Rangarajan, 2021, Expert Systems with Applications.

Disease classification in aubergine with local symptomatic region using deep learning models

Aravind Krishnaswamy Rangarajan, M. Pérez-Ruiz, R. Purushothaman, 2021 .

A low-cost UAV for detection of Cercospora leaf spot in okra using deep convolutional neural network

B. Ranganathan, A. K. Rangarajan, Edwin Jayaraj Balu, 2022, Multimedia Tools and Applications.

Crop identification and disease classification using traditional machine learning and deep learning approaches

A. K. Rangarajan, Raja Purushothaman, Cezary Szczepański, 2021, Journal of Engineering Research.

Detection of fusarium head blight in wheat using hyperspectral data and deep learning

A. Mouazen, A. Krishnaswamy Rangarajan, Rebecca Louise Whetton, 2022, Expert Syst. Appl..

Non-destructive detection of fusarium head blight in wheat kernels and flour using visible near-infrared and mid-infrared spectroscopy

Muhammad Baraa Almoujahed, R. Whetton, A. K. Rangarajan, 2023, Chemometrics and Intelligent Laboratory Systems.